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  Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networks

Gebhard, T. D., Angerhausen, D., Konrad, B. S., Alei, E., Quanz, S. P., & Schölkopf, B. (2024). Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networks. Astronomy and Astrophysics, 681: A3. doi:10.1051/0004-6361/202346390.

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https://doi.org/10.1051/0004-6361/202346390 (Publisher version)
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OA-Status:
Gold
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OA-Status:
Green

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 Creators:
Gebhard, Timothy D.1, 2, Author                 
Angerhausen, D.2, Author
Konrad, B. S.2, Author
Alei, E.2, Author
Quanz, S. P.2, Author
Schölkopf, Bernhard1, 2, Author                 
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              
2External Organizations, ou_persistent22              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 2023-12-202024-01
 Publication Status: Issued
 Pages: 18
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1051/0004-6361/202346390
BibTex Citekey: Gebhardetal24
arXiv: 2309.03075
 Degree: -

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Source 1

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Title: Astronomy and Astrophysics
  Other : Astron. Astrophys.
  Abbreviation : A&A
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Les Ulis Cedex A France : EDP Sciences
Pages: - Volume / Issue: 681 Sequence Number: A3 Start / End Page: - Identifier: ISSN: 1432-0746
ISSN: 0004-6361
CoNE: https://pure.mpg.de/cone/journals/resource/954922828219_1